Senior Software Engineer, AI Performance Analysis

NVIDIA

Senior Software Engineer automating and optimizing performance analysis workflows for AI training and inference workloads at NVIDIA. Building tools and workflows that scale across a broad audience of engineers.

Posted 7/16/2026full-timeSanta Clara • California, Oregon • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building performance analysis tools for AI workloads, with a strong focus on translating user requirements into scalable solutions. Proficient in collaborating with cross-functional teams to identify and resolve performance bottlenecks in AI systems.

Highest-signal resume keywords

AI WorkloadsPerformance Analysis ToolsPython ProgrammingC++ ProgrammingTool Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI FrameworksPerformance CharacteristicsWorkflow DevelopmentAutomated DiagnosisScalable Tooling Solutions

Soft Skills

Interpersonal SkillsCollaboration

Tools & Technologies

Profiling InfrastructureAI-Enabled Tooling

Certifications & Qualifications

M.S. or PhD in Computer ScienceComputer Engineering

Industry Keywords

AI TrainingInference WorkloadsPerformance EngineersHardware ArchitectsMulti-Functional Teams

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and build performance analysis tools and workflows for AI training and inference workloads.
Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling.
Develop integrations between profiling infrastructure and AI frameworks and workflows.
Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads.
Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them.

Requirements

What you’ll need

M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience).
6+ years of relevant work experience
Deep knowledge of AI workloads, frameworks, and performance characteristics.
Experience building tools, workflows, or infrastructure used by other engineers.
Strong software development skills (Python, C++ preferred).
Ability to translate user requirements into scalable tooling solutions.
Up to date with AI-enabled tooling for software development and performance analysis.
Strong interpersonal skills for understanding engineer difficulties and working across multi-functional teams.

Benefits

Comp & perks

equity
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